A Prospective, Open-label, Non-randomized, Clinical Trial to Evaluate the Safety and Efficacy in RUSsian RRMS Patients on One Year Treatment With Natalizumab (TYSabri®)
Abstract
The primary objective is to evaluate the safety and tolerability of natalizumab (BG00002, Tysabri®) in the study population (Russian participants with relapsing remitting multiple sclerosis). The secondary objectives are to look at evaluation of severity of relapse, hospitalization and steroid use requirement; Expanded Disability Status Scale (EDSS), functional tests, quality of life self-assessment questionnaires including the short form health survey self-assessment questionnaire (SF-36) and multiple sclerosis impact scale 29 (MSIS-29), evidence of MRI disease activity, participants free of disease activity (clinical activity and/MRI activity) and anti JC Virus (JCV) antibody evaluation.
Conditions: Relapsing-Remitting Multiple Sclerosis.
Primary outcome: Number of participants that experience Serious Adverse Events (SAEs) and adverse events (AEs).
Enrollment: 100 participants.
How strong is the evidence?
Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design. Reported size: 100 participants or records.
Read the paper
Related studies
- A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
- Toxicity of nanomaterials
- The Human Gene Mutation Database: towards a comprehensive repository of inherited mutation data for medical research, genetic diagnosis and next-generation sequencing studies
- Halogen bonding (X‐bonding): A biological perspective
- Biofilm formation at the air–liquid interface by the Pseudomonas fluorescens SBW25 wrinkly spreader requires an acetylated form of cellulose
- Opioid Activation of Toll-Like Receptor 4 Contributes to Drug Reinforcement
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.